class_docstr: ModelNet40.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, download_manager):
      """Returns SplitGenerators."""
  
      extracted_path = download_manager.download_and_extract(_URL)
  
      # Note: VALIDATION split was not provided by the authors
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs=dict(
                  filename_list_path=os.path.join(
                      extracted_path,
                      "modelnet40_ply_hdf5_2048/train_files.txt",
                  ),
              ),
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs=dict(
                  filename_list_path=os.path.join(
                      extracted_path,
                      "modelnet40_ply_hdf5_2048/test_files.txt",
                  ),
              ),
          ),
      ]
  
file_path: graphics/tensorflow_graphics/datasets/modelnet40/modelnet40.py
imports: import os
  import h5py
  import tensorflow
  import tensorflow_datasets
label_desc: Use image node_id 3 for calling the ModelNet40 obj's underlying member method code with example usage: obj._split_generators(download_manager) and returns: list